Dissertation > Excellent graduate degree dissertation topics show

Face Detection Based on Skin Segmentation in Color Images and the Feature Location

Author: TangQiuYan
Tutor: WangZuo
School: Shenyang University of Technology
Course: Applied Computer Technology
Keywords: Face Detection Mixed color model Human eye similarity Eye Location Mouth positioning
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 274
Quote: 1
Read: Download Dissertation

Abstract


Face detection as a key technology in the information processing of human face has become a received wide attention in the field of pattern recognition and computer vision , research is very active topic in the immigration security check , video encoding , video detection and tracking , facial expressions identification, has an important role -based content retrieval . With the high-speed development of computer technology , the color image face detection in recent years that it has gradually become a hot research topic . Relative to conventional gray - scale image processing , the color image of the face detection has a higher demand , such as being able to adapt to the imaging conditions, the light and complexity of a scene change , the posture of the face of the person in the image , occlusion, and the changes in the expression for effective processing , and therefore the color image face detection is still a long way to go research. In this paper, the algorithm of color image face detection and positioning of the eyes , mouth , skin color segmentation fusion feature validation . First, in the image pre-processing stage of the existing light compensation algorithm is improved in order to better reduce the impact of light and other factors ; Secondly, analysis, comparison complexion clustering of the different color spaces , to establish a reliable mixed color model , and its validation and analysis ; again, depending on the blend color model an adaptive threshold segmentation method based on region growing skin color segmentation , analysis of the resulting binary image based on mathematical morphology , connected region and processing, to generate a series of candidate face regions ; Finally, the use of the detection of the human eye to determine if a real human face region , and also the positioning of the eyes and mouth made ??in-depth studies and experiments . The positioning of the eyes , because of the special nature of the black-and-white of the eye , a similarity calculation based on human eye localization algorithm . The positioning of the lips , the main consideration to the color characteristics of the lips , and to locate the nozzle lip color extraction . VC programming tool for the realization of the algorithm , and made ??a large number of experiments in face test set of images created . The results show that the proposed algorithm has higher detection accuracy rate and low false positive rate on face detection in complex background image .

Related Dissertations

  1. Research on Face Detection Based on Skin Color Segmentation and AdaBoost Algorithm,TP391.41
  2. The Study of Human Face Detection Method Based on OpenCV,TP391.41
  3. Research on the Vision-Based Driver Fatigue Real-Time Detection,TP391.41
  4. Research and Implementation on Multi-angle Face Detection Technology Based on Continuous Adaboost Algorithm,TP391.41
  5. Image / video automatic replacement of the face,TP391.41
  6. Abnormality with or graph based Face Detection technology,TP391.41
  7. Feature points based virtual try positioning research,TP391.41
  8. Color Face Detection and Recognition,TP391.41
  9. Algorithm for automatic face beautification,TP391.41
  10. Based on image analysis of the human face than on the technology research,TP391.41
  11. ARM9-based embedded image processing platform for the design and application,TP391.41
  12. Natural classroom face recognition system based on video streaming Research and Implementation,TP391.41
  13. Face Detection,TP391.41
  14. Study on Human Face Detection and Tracking Algorithm Based on Skin Color,TP391.41
  15. Study on Face Detection Based on AdaBoost Algorithm,TP391.41
  16. And Cascade algorithm based on AdaBoost face detection,TP391.41
  17. Research on Driver Fatigue Detection Based on Multi-feature Integration,TP391.41
  18. Research and Implementation of Human Face Detection Based on DaVinci Platform,TP391.41
  19. Research of Driver Fatigue Alarm Algorithm Based on Visual Information,TP391.41
  20. The Study Face Detecting Method Base on Gray Distribute,TP391.41
  21. Real-Time Face Pose Estimation in Video Sequence,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile